Harnessing Twitter and crowdsourcing to augment aurora forecasting

Nicolas LaLone, Andrea Tapia, Elizabeth MacDonald, Nathan Case, Michelle Hall, Jessica Clayton, Matthew Heavner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The aurora borealis and aurora australis are beautiful space weather driven events whose sighting is typically based on luck given that forecasting is not spatially or temporally precise. To help increase the accuracy and timeliness of auroral forecasting, we have designed a multi-faceted system called Aurorasaurus. This system allows crisis management specialists to test reactions to rare event notifications, space weather scientists to get direct sighting information of auroras (complete with pictures), and science education researchers to evaluate the impact of educational materials about the aurora and the physics surrounding this unique phenomenon. Through manual tweet verification and directly reported aurora borealis or aurora australis sightings, everyday users help make space weather and aurora forecasting more accurate.

Original languageEnglish (US)
Title of host publicationCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery
Pages9-12
Number of pages4
ISBN (Electronic)9781450329224
DOIs
Publication statusPublished - Feb 28 2015
Event2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - Vancouver, Canada
Duration: Mar 14 2015Mar 18 2015

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume2015-January

Other

Other2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
CountryCanada
CityVancouver
Period3/14/153/18/15

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All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

Cite this

LaLone, N., Tapia, A., MacDonald, E., Case, N., Hall, M., Clayton, J., & Heavner, M. (2015). Harnessing Twitter and crowdsourcing to augment aurora forecasting. In CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing (pp. 9-12). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; Vol. 2015-January). Association for Computing Machinery. https://doi.org/10.1145/2685553.2702671